Instructions

Guide to submitting data to the Repository DataverseUA. This guide provides detailed instructions for submitting datasets to the Repository DataverseUA. You will learn how to submit your data, annotate and metadata them, and follow best practices for preserving and publishing research results. This guide will be useful for researchers and anyone who values the accessibility and quality of data in scientific research..

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Dataverse Documentation is the help documents that explain how to use Dataverse and is divided into the following sections: User's Guide, Installation Guide, Developer's Guide, and API Guide.
The User's Guide is further divided into main activities: finding and using data, adding datasets, administering datasets, and using datasets/visualizations. The Installation Guide contains detailed instructions for installing Dataverse and is intended for administrators in institutions who wish to install their own Dataverse Data Repository.
The Developer's Guide contains instructions for people who want to contribute to the Open Source Dataverse project or who want to modify the code to suit their own needs.
The API Guide is intended for developers working on other applications who are interested in using Dataverse features through our APIs.
Additional information about the Dataverse project itself, including presentations, information about upcoming releases, data management, and announcements, can be found at http://dataverse.org/.

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One of the features of the Dataverse Repository software is a large number of metadata fields for describing research data. Dataverse's standards-based interoperability metadata supports both dataset- and file-level descriptions and is compatible with the DataCite schema to support DOI registration. This guide provides guidance for both novice and advanced users on creating metadata for datasets in Dataverse. The guide was developed by the Portage Network Dataverse North Metadata Working Group for the New Digital Research Infrastructure Organization (NDRIO).

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